Results 11 to 20 of about 181,638 (266)
Verifying Autonomous Systems [PDF]
This paper focuses on the work of the Autonomy and Verification Network1. In particular it will look at the use of model-checking to verify the choices made by a cognitive agent in control of decision making within an autonomous system. It will consider the assumptions that need to be made about the environment in which the agent operates in order to ...
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In complex product design, lots of time and resources are consumed to choose a preference-based compromise decision from non-inferior preliminary design models with multi-objective conflicts. However, since complex products involve intensive multi-domain
Zhexin Cui +4 more
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An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis
An industrial robot is a complex mechatronics system, whose failure is hard to diagnose based on monitoring data. Previous studies have reported various methods with deep network models to improve the accuracy of fault diagnosis, which can get an ...
Yuxin Liu +3 more
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Fault diagnosis of industrial robot based on dual-module attention convolutional neural network
Fault diagnosis plays a vital role in assessing the health management of industrial robots and improving maintenance schedules. In recent decades, artificial intelligence-based data-driven approaches have made significant progress in machine fault ...
Kaijie Lu +4 more
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A spatio temporal spectral framework for plant stress phenotyping
Background Recent advances in high throughput phenotyping have made it possible to collect large datasets following plant growth and development over time, and those in machine learning have made inferring phenotypic plant traits from such datasets ...
Raghav Khanna +5 more
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Modularization Method to Reuse Medical Knowledge Graphs
During the creation and integration of a health care system based on medical knowledge graphs, it is necessary to review and select the vocabularies and definitions that best fit the information requirements of the system being developed.
Maricela Bravo +3 more
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Real-time high-resolution wind predictions are beneficial for various applications including safe crewed and uncrewed aviation. Current weather models require too much compute and lack the necessary predictive capabilities as they are valid only at the ...
Florian Achermann +6 more
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ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source
Enhancing robotic skill acquisition with multimodal sensory data: A novel dataset for kitchen tasks
The advent of large language models has transformed human-robot interaction by enabling robots to execute tasks via natural language commands. However, these models primarily depend on unimodal data, which limits their ability to integrate diverse and ...
Ruochen Ren +7 more
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ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source

